Papers with Code 아카이브

Reinforcement Learning

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/liuyuemaicha/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

Deep Reinforcement Learning for Dialogue Generation

https://github.com/liuyuezhang/pyrl

Continuous control with deep reinforcement learning

https://github.com/liyiyuian/Deep-Learning

Proximal Policy Optimization Algorithms

https://github.com/liyzcj/leakgan-py3

Long Text Generation via Adversarial Training with Leaked Information

https://github.com/llSourcell/OpenAI_Five_vs_Dota2_Explained

Emergence of Locomotion Behaviours in Rich Environments

https://github.com/llSourcell/SQL_Database_Optimization

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

https://github.com/lmzintgraf/varibad

Meta reinforcement learning as task inference

https://github.com/loeweX/Greedy_InfoMax

Representation Learning with Contrastive Predictive Coding

https://github.com/lollcat/RL-Process-Design

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

https://github.com/lollcat/Soft-Actor-Critic

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/londoed/Gorila

Massively Parallel Methods for Deep Reinforcement Learning

https://github.com/londoed/Kortex

Massively Parallel Methods for Deep Reinforcement Learning

https://github.com/longtermrisk/marltoolbox

Maintaining cooperation in complex social dilemmas using deep reinforcement learning

https://github.com/lorylei/DARTS-et

DARTS: Differentiable Architecture Search

https://github.com/louisv123/COLGE

Learning Combinatorial Optimization Algorithms over Graphs

https://github.com/lpcan/micl

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/lqnew/continuous_control_benchmark

DeepMind Control Suite

https://github.com/ltzheng/pddpg-hfo

Deep Reinforcement Learning in Parameterized Action Space

https://github.com/lucadellalib/bayestorch

Weight Uncertainty in Neural Networks

https://github.com/lucadellalib/bdl-rul-svgd

Weight Uncertainty in Neural Networks

https://github.com/lucasalegre/mo-gym

Dynamic Weights in Multi-Objective Deep Reinforcement Learning

https://github.com/luceriluc/Detecting-Troll-Behavior-via-Inverse-Reinforcement-Learning

Detecting Troll Behavior via Inverse Reinforcement Learning: A Case Study of Russian Trolls in the 2016 US Election

https://github.com/lucidrains/compressive-transformer-pytorch

Stabilizing Transformers for Reinforcement Learning

https://github.com/lucidrains/feedback-transformer-pytorch

Addressing Some Limitations of Transformers with Feedback Memory

https://github.com/lucylow/Covid_Control

Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription

https://github.com/lucys0/HRL

Dynamics-Aware Unsupervised Discovery of Skills

https://github.com/ludel/AutoTrading

Practical Deep Reinforcement Learning Approach for Stock Trading

https://github.com/lujiayou123/Off-Policy-Meta-Reinforcement-Learning-via-Unsupervised-Domain-Translation

Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables

https://github.com/lukashermann/projects

Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control

https://github.com/luke-97/BayesByBackprop

Weight Uncertainty in Neural Networks

https://github.com/luke-bhan/TwitterSentimentAnalysisTool

Continuous control with deep reinforcement learning

https://github.com/lukebhan/TwitterSentimentAnalysisTool

Continuous control with deep reinforcement learning

https://github.com/lukebhan/assistive-gym

Assistive Gym: A Physics Simulation Framework for Assistive Robotics

https://github.com/lukemelas/image-paragraph-captioning

Self-critical Sequence Training for Image Captioning

https://github.com/luofuli/DualRL

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer

https://github.com/luozachary/drl-rec

Deep Reinforcement Learning for List-wise Recommendations

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.